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This event dedicates the John C. Malone Professorship and installs John W. Krakauer, professor of neurology and neuroscience and director of the Center for the Study of Motor Learning and Brain Repair at Johns Hopkins Medicine. Reception to follow.
Registration is required to attend. RSVP by Monday, Oct. 17 by calling 443-287-7876 or by emailing email@example.com.
Parking is available in the Orleans Street Garage
1795 Orleans Street, Baltimore, MD 21231
From Washington, D.C., Virginia and I-95 Access at BWI Thurgood Marshall Airport:
From Philadelphia, New York and Northeastern Baltimore Suburbs:
From York, Central Pennsylvania and Northern Baltimore Suburbs:
From Annapolis and Maryland’s Eastern Shore:
Laurent Younes, professor and chair of the Department of Applied Mathematics and Statistics at Johns Hopkins University, will present “Change Point Estimation of Brain Shape Data in Relation with Alzheimer’s Disease.”
Abstract: The manifestation of an event, such as the onset of a disease, is not always immediate and often requires some time for its repercussions to become observable. Slowly progressing diseases, and in particular neuro-degenerative disorders such as Alzheimer’s disease (AD), fall into this category. The manifestation of such diseases is related to the onset of cognitive or functional impairment and, at the time when this occurs, the disease may have already had been affecting the brain anatomically and functionally for a considerable time. We consider a statistical two-phase regression model in which the change point of a disease biomarker is measured relative to another point in time, such as the manifestation of the disease, which is subject to right-censoring (i.e., possibly unobserved over the entire course of the study). We develop point estimation methods for this model, based on maximum likelihood, and bootstrap validation methods. The effectiveness of our approach is illustrated by numerical simulations, and by the estimation of a change point for atrophy in the context of Alzheimer’s disease, wherein it is related to the cognitive manifestation of the disease. This work is a collaboration with Marilyn Albert, Xiaoying Tang and Michael Miller, and was partially supported by the NIH.
For those who cannot make it to the Homewood campus, the seminar will be video-conferenced to Traylor 709 on the School of Medicine campus.
For those who attend at Homewood, lunch will be provided at noon.
The Laboratory for Computational Sensing and Robotics will highlight its elite robotics students and showcase cutting-edge research projects in areas that include Medical Robotics, Extreme Environments Robotics, Human-Machine Systems for Manufacturing, BioRobotics and more. JHU Robotics Industry Day will take place from 8 a.m. to 3 p.m. in Hackerman Hall on the Homewood Campus at Johns Hopkins University.
Robotics Industry Day will provide top companies and organizations in the private and public sectors with access to the LCSR’s forward-thinking, solution-driven students. The event will also serve as an informal opportunity to explore university-industry partnerships.
You will experience dynamic presentations and discussions, observe live demonstrations, and participate in speed networking sessions that afford you the opportunity to meet Johns Hopkins most talented robotics students before they graduate.
Registration is free, but required. Register here.Click here to view the schedule
With Johns Hopkins undergraduates involved in such varied research opportunities, DREAMS provides the perfect venue to share these projects with the Hopkins community. DREAMS: A Day of Undergraduate Research in Engineering, the Arts & Humanities, Medicine, and the Sciences will be held every April showcasing the current research, scholarship and artistic endeavors of Johns Hopkins undergraduate students.
The registration deadline to present is March 31, 2017, and you can find the registration form and details, including a list of FAQ and information on free poster printing, at the DREAMS website.